34 AI Solutions Architect jobs in Placements24

• Design and architect end-to-end AI and machine learning solutions for various business problems.
• Collaborate with stakeholders to gather requirements, define project scope, and develop technical roadmaps.
• Evaluate and select appropriate AI/ML technologies, platforms, and tools for proposed solutions.
• Oversee the development and implementation of AI models, ensuring alignment with architectural principles and best practices.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Develop proofs-of-concept (POCs) and prototypes to demonstrate the feasibility and value of AI solutions.
• Ensure solutions are scalable, secure, and integrate seamlessly with existing systems.
• Stay abreast of emerging AI trends, technologies, and best practices, and incorporate them into architectural designs.
• Create comprehensive technical documentation, including architecture diagrams, design specifications, and deployment plans.
• Bridge the gap between business objectives and technical implementation, ensuring AI solutions deliver tangible business value.

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 7 years of experience in software architecture or solution design, with a significant focus on AI/ML projects.
• Deep understanding of AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience designing and implementing cloud-based AI solutions (AWS, Azure, GCP).
• Experience with data engineering, data warehousing, and big data technologies.
• Strong understanding of software development best practices, including DevOps and CI/CD.
• Excellent communication, presentation, and interpersonal skills, with the ability to engage effectively with technical and business stakeholders.
• Experience in solution selling or pre-sales technical consulting is a plus.
• Ability to analyze complex problems and devise effective, scalable solutions.
• Familiarity with various AI domains such as NLP, Computer Vision, and Reinforcement Learning.

• Competitive compensation package including base salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Hybrid work model offering flexibility between office and remote work.
• Generous paid time off and holiday allowances.
• Opportunities for professional development, certifications, and attending industry conferences.
• Access to cutting-edge AI technologies and a stimulating work environment.
• Retirement savings plan.
• Collaborative team culture with a focus on innovation and continuous improvement.
• Potential for career advancement within a growing organization.

Our client is a leading cloud services provider looking for an experienced and forward-thinking AI Solutions Architect to join their fully remote team. This role is pivotal in designing and implementing scalable, robust, and cost-effective AI and machine learning solutions for our diverse clientele. You will work with clients to understand their business challenges and architect comprehensive AI strategies leveraging cloud-native services and advanced technologies. This is a unique opportunity to be at the forefront of AI adoption, guiding businesses in their digital transformation journey and making a significant impact from anywhere in the world. We foster a remote-first culture that prioritizes collaboration, innovation, and work-life balance.

• Design and architect end-to-end AI/ML solutions on cloud platforms (e.g., AWS, Azure, GCP) tailored to client needs.
• Collaborate with clients and internal stakeholders to gather requirements, assess feasibility, and define solution architectures.
• Provide technical leadership and guidance on AI/ML best practices, tools, and frameworks.
• Develop proof-of-concepts and prototypes to demonstrate the value of proposed AI solutions.
• Create comprehensive architecture documentation, including diagrams, technical specifications, and deployment plans.
• Advise clients on data strategy, model selection, MLOps, and infrastructure considerations.
• Stay current with the latest advancements in AI, machine learning, cloud technologies, and industry trends.
• Present complex technical solutions to both technical and executive audiences.
• Identify opportunities for innovation and improvement in client solutions and internal processes.
• Ensure solutions are scalable, secure, reliable, and meet performance requirements.
• Mentor other technical team members and contribute to knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 7+ years of experience in IT architecture, with at least 3 years focused on designing and implementing AI/ML solutions.
• In-depth knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong understanding of machine learning algorithms, deep learning frameworks, and data science concepts.
• Experience with MLOps principles and tools for managing the ML lifecycle.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data engineering, big data technologies (e.g., Spark, Hadoop), and database technologies.
• Excellent analytical, problem-solving, and communication skills.
• Proven ability to architect complex, scalable solutions.
• Experience in a client-facing role or consultative capacity is highly desirable.
• Demonstrated ability to work effectively in a fully remote team environment.

• Competitive salary and performance bonuses.
• Comprehensive benefits package including health, dental, and vision insurance.
• Fully remote work flexibility with a home office stipend.
• Generous paid time off and holidays.
• Opportunities for continuous learning, certifications, and professional development.
• Access to cutting-edge cloud and AI technologies.
• Collaborative and inclusive global team environment.

Our client, a leading innovator in AI and emerging technologies, is seeking an experienced AI Solutions Architect to join their strategic team in Kano . This role is critical for designing, developing, and implementing scalable AI solutions that address complex business challenges for our client and their partners. The ideal candidate will possess a deep understanding of various AI and machine learning techniques, cloud infrastructure, and software architecture principles. You will be responsible for translating business requirements into technical blueprints, guiding development teams, and ensuring the successful deployment of AI-powered systems. This is an exceptional opportunity to influence the technical direction of AI initiatives within a forward-thinking organization and contribute to transformative projects.

• Design end-to-end AI solutions, encompassing data pipelines, model development, deployment, and monitoring.
• Collaborate closely with stakeholders, including business leaders, data scientists, and engineers, to define solution requirements and objectives.
• Evaluate and select appropriate AI/ML technologies, frameworks, and platforms.
• Develop architectural blueprints and technical specifications for AI systems.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Ensure solutions are scalable, reliable, secure, and cost-effective.
• Stay informed about the latest trends and advancements in AI, machine learning, and cloud computing.
• Conduct technical feasibility studies and proof-of-concept projects.
• Document architectural decisions and best practices.

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 7 years of experience in software engineering or solutions architecture, with at least 3 years focused on AI/ML projects.
• Proven experience designing and implementing large-scale AI/ML solutions on cloud platforms (e.g., AWS, Azure, GCP).
• Deep understanding of various machine learning algorithms, data science methodologies, and AI concepts.
• Familiarity with MLOps principles and practices.
• Strong knowledge of data architecture, data modeling, and database technologies.
• Excellent communication, presentation, and interpersonal skills.
• Ability to translate complex technical concepts into clear business value.
• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.

Our client offers a highly competitive salary, comprehensive benefits package including health, dental, and vision insurance, and numerous opportunities for professional development and career advancement. This hybrid role provides a balance of in-office collaboration at our Kano location and remote flexibility. You will work with a team of passionate experts, tackle challenging and rewarding projects, and have access to advanced tools and resources. Our client is committed to fostering a supportive and inclusive work environment where innovation thrives. Enjoy generous paid time off, performance bonuses, and the chance to shape the future of AI solutions.

• Design and architect end-to-end AI and machine learning solutions tailored to specific client requirements.
• Evaluate and select appropriate AI technologies, platforms, and tools (e.g., cloud AI services, open-source libraries) for different project needs.
• Collaborate with client stakeholders, project managers, data scientists, and engineers to define technical vision and roadmap.
• Develop proofs-of-concept (POCs) and technical prototypes to demonstrate the feasibility of proposed solutions.
• Provide technical leadership and guidance throughout the project lifecycle, from conception to deployment and optimization.
• Ensure solutions are scalable, reliable, secure, and cost-effective.
• Stay abreast of the latest trends and advancements in AI, machine learning, cloud computing, and data engineering.
• Document architectural designs, technical specifications, and best practices.

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven experience (5+ years) in software architecture, solution design, or a similar role, with a significant focus on AI/ML projects.
• Deep understanding of various AI/ML domains, including machine learning, deep learning, NLP, computer vision, and data science methodologies.
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages commonly used in AI/ML (e.g., Python, Java, Scala).
• Strong knowledge of data architecture, data modeling, and data management principles.
• Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
• Experience working in a hybrid or consulting environment.
• Must be based in or willing to commute to **Uyo, Akwa Ibom, NG** for hybrid work.

Our client, a forward-thinking technology firm, is seeking a talented and visionary AI Solutions Architect to join their team remotely. This critical role involves designing and implementing innovative artificial intelligence and machine learning solutions for diverse business needs. You will be the technical lead, translating complex business challenges into scalable and effective AI architectures. The ideal candidate will have a deep understanding of AI technologies, cloud platforms, and enterprise system integration. This is an opportunity to work on cutting-edge projects and influence the strategic adoption of AI across various industries.

• Design and architect end-to-end AI/ML solutions tailored to specific business requirements.
• Collaborate with clients and stakeholders to understand their challenges and define AI strategies.
• Select appropriate AI/ML technologies, frameworks, and tools for solution implementation.
• Oversee the development and integration of AI models and platforms.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Evaluate and recommend cloud-based AI services and infrastructure.
• Ensure solutions are scalable, secure, and performant.
• Develop technical documentation, including architecture diagrams and implementation plans.
• Stay updated on emerging AI trends and technologies, assessing their applicability.
• Conduct feasibility studies and proof-of-concept projects for new AI initiatives.
• Communicate technical vision and architectural decisions effectively to both technical and non-technical audiences.
• Work closely with data scientists, engineers, and business analysts to ensure successful solution delivery.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field; Ph.D. is a plus.
• Proven experience as an AI/ML Architect, Solutions Architect, or similar role, with a strong portfolio of AI-driven projects.
• Deep expertise in various AI and machine learning domains (e.g., NLP, computer vision, predictive analytics).
• Extensive knowledge of cloud platforms such as AWS, Azure, or GCP, and their AI/ML services.
• Proficiency in programming languages commonly used in AI (e.g., Python, R).
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
• Understanding of data engineering principles, databases, and data warehousing.
• Strong knowledge of system integration and API design.
• Excellent analytical, problem-solving, and strategic thinking abilities.
• Exceptional communication and presentation skills, with the ability to articulate complex technical concepts.
• Experience with containerization technologies (Docker, Kubernetes) is beneficial.
• Ability to work effectively in a remote, collaborative environment.

Our client offers a highly competitive salary and a comprehensive benefits package, including health insurance, retirement savings plans, and performance bonuses. We provide extensive opportunities for professional development, including training, certifications, and attending leading AI conferences. Enjoy the flexibility of a fully remote work arrangement, allowing for excellent work-life balance. Our client supports continuous learning and encourages innovation. Join a global team of experts and contribute to shaping the future of AI solutions from anywhere.

• Design and architect end-to-end AI solutions, including data pipelines, model deployment, and infrastructure.
• Evaluate and select appropriate AI technologies, platforms, and tools.
• Collaborate with data scientists, engineers, and business stakeholders to define technical requirements.
• Develop proof-of-concepts and prototypes to validate AI solution designs.
• Provide technical leadership and guidance on AI best practices.
• Ensure solutions are scalable, secure, and cost-effective.
• Document architectural designs and technical specifications.
• Stay current with emerging AI trends and technologies.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Solutions Architect, with a strong focus on AI and machine learning.
• Deep understanding of AI/ML concepts, algorithms, and frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages relevant to AI (e.g., Python).
• Experience with data engineering, MLOps, and deployment strategies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work effectively in a hybrid work environment.

• Collaborate with stakeholders to understand business requirements and translate them into comprehensive AI solution architectures.
• Design and architect scalable, reliable, and cost-effective AI/ML solutions leveraging cloud-native technologies and services.
• Evaluate and recommend appropriate AI/ML technologies, tools, and frameworks for client projects.
• Oversee the development lifecycle, providing technical guidance and ensuring adherence to architectural best practices.
• Develop proof-of-concepts and prototypes to demonstrate the viability of proposed AI solutions.
• Create detailed technical documentation, including architecture diagrams, design specifications, and deployment plans.
• Conduct technical feasibility studies and risk assessments for AI initiatives.
• Present architectural designs and technical recommendations to clients and internal teams.
• Stay current with emerging AI trends and technologies, and identify opportunities for innovation.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software architecture and development, with at least 5 years focused on AI/ML solutions.
• Extensive experience with cloud platforms such as AWS, Azure, or GCP, and their AI/ML services.
• Deep understanding of various AI/ML algorithms, techniques, and their applications (e.g., supervised, unsupervised learning, deep learning, NLP, computer vision).
• Proven experience in designing and implementing large-scale AI/ML systems.
• Strong knowledge of data engineering principles and MLOps best practices.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to work effectively in a client-facing role.
• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.

• Design end-to-end AI solutions, encompassing data strategy, model selection, deployment, and integration.
• Collaborate with clients and stakeholders to define technical requirements and project scopes.
• Evaluate and recommend appropriate AI/ML technologies, platforms, and tools.
• Develop architectural blueprints and technical documentation.
• Lead and mentor technical teams throughout the project lifecycle.
• Ensure solutions are scalable, reliable, and adhere to best practices.
• Identify opportunities for innovation and optimization within client systems.
• Conduct technical feasibility studies and proof-of-concepts.
• Stay abreast of emerging AI trends and technologies.
• Present technical solutions and strategies to clients and leadership.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 7+ years of experience in software development, data science, or AI engineering, with at least 3 years in an architectural role.
• Proven experience designing and implementing AI/ML solutions in cloud environments (AWS, Azure, GCP).
• Deep understanding of various AI/ML domains (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
• Experience with MLOps principles and tools for managing the ML lifecycle.
• Strong knowledge of data architecture, data warehousing, and big data technologies.
• Excellent communication, presentation, and interpersonal skills.
• Ability to translate complex technical concepts into business value.
• Experience in a client-facing or consulting role is highly desirable.
• Relevant cloud certifications are a plus.